Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization. - Gabriel Mancino-Ball; Shengnan Miao; Yangyang Xu; Jie Chen 007 (AAAI, 2023)

Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems. - Gabriel Mancino-Ball; Yangyang Xu (CoRR, 2023)

A Decentralized Primal-Dual Framework for Non-Convex Smooth Consensus Optimization. - Gabriel Mancino-Ball; Yangyang Xu; Jie Chen 007 (IEEE Trans. Signal Process., 2023)

Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization. - Xuan Zhang; Gabriel Mancino-Ball; Necdet Serhat Aybat; Yangyang Xu (AAAI, 2024)

BoFire: Bayesian Optimization Framework Intended for Real Experiments. - Johannes P. Dürholt; Thomas S. Asche; Johanna Kleinekorte; Gabriel Mancino-Ball; Benjamin Schiller; Simon Sung; Julian Keupp; Aaron Osburg; Toby Boyne; Ruth Misener; Rosona Eldred; Wagner Steuer Costa; et al. (CoRR, 2024)

A stochastic smoothing framework for nonconvex-nonconcave min-sum-max problems with applications to Wasserstein distributionally robust optimization. - Wei Liu; Khan Muhammad 001; Gabriel Mancino-Ball; Yangyang Xu (CoRR, 2025)